Evidence map›Paper›PMID 26635144›Full record

ArticleScientific reports2015

De novo and comparative transcriptome analysis of cultivated and wild spinach.

Chenxi Xu, Chen Jiao, Yi Zheng, Honghe Sun, Wenli Liu, Xiaofeng Cai, Xiaoli Wang, Shuang Liu, Yimin Xu, Beiquan Mou and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  12. SpinachBase: a central portal for spinach genomics.Database : the journal of biological databases and curation · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Chenxi XuDevelopment and Collaborative Innovation Center of Plant Germplasm Resources, College of Life and Environmental Sciences, Shanghai Normal University, Shanghai, 200234, China.
Chen JiaoBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY 14853, USA.
Yi ZhengBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY 14853, USA.
Honghe SunBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY 14853, USA.
Wenli LiuBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY 14853, USA.
Xiaofeng CaiDevelopment and Collaborative Innovation Center of Plant Germplasm Resources, College of Life and Environmental Sciences, Shanghai Normal University, Shanghai, 200234, China.
Xiaoli WangDevelopment and Collaborative Innovation Center of Plant Germplasm Resources, College of Life and Environmental Sciences, Shanghai Normal University, Shanghai, 200234, China.
Shuang LiuDevelopment and Collaborative Innovation Center of Plant Germplasm Resources, College of Life and Environmental Sciences, Shanghai Normal University, Shanghai, 200234, China.
Yimin XuBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY 14853, USA.
Beiquan MouUSDA, Agricultural Research Station, 1636 E. Alisal Street, Salinas, CA 93905, USA.
Shaojun DaiDevelopment and Collaborative Innovation Center of Plant Germplasm Resources, College of Life and Environmental Sciences, Shanghai Normal University, Shanghai, 200234, China.
Zhangjun FeiBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY 14853, USA.
Quanhua WangDevelopment and Collaborative Innovation Center of Plant Germplasm Resources, College of Life and Environmental Sciences, Shanghai Normal University, Shanghai, 200234, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinach (Spinacia oleracea L.) is an economically important green leafy vegetable crop. In this study, we performed deep transcriptome sequencing for nine spinach accessions: three from cultivated S. oleracea, three from wild S. turkestanica and three from wild S. tetrandra. A total of approximately 100 million high-quality reads were generated, which were de novo assembled into 72,151 unigenes with a total length of 46.5 Mb. By comparing sequences of these unigenes against different protein databases, nearly 60% of them were annotated and 50% could be assigned with Gene Ontology terms. A total of 387 metabolic pathways were predicted from the assembled spinach unigenes. From the transcriptome sequencing data, we were able to identify a total of ~320,000 high-quality single nucleotide polymorphisms (SNPs). Phylogenetic analyses using SNPs as well as gene expression profiles indicated that S. turkestanica was more closely related to the cultivated S. oleracea than S. tetrandra. A large number of genes involved in responses to biotic and abiotic stresses were found to be differentially expressed between the cultivated and wild spinach. Finally, an interactive online database (http://www.spinachbase.org) was developed to allow the research community to efficiently retrieve, query, mine and analyze our transcriptome dataset.

Indexed as

Sequence Analysis, DNADatabases, GeneticGene Expression ProfilingGene OntologyGenome, PlantHigh-Throughput Nucleotide SequencingMetabolic Networks and PathwaysMicrosatellite RepeatsMolecular Sequence AnnotationPhylogenySpinacia oleraceaTranscriptome

Identifiers

PMID26635144
PMCPMC4669492

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.